Microsoft Azure Cognitive Search Client Library for Python

PDF file reader/writer library

Asyncer, async and await, focused on developer experience.

cffi-based cairo bindings for Python

Vectorized spatial vector file format I/O using GDAL/OGR

PyMuPDF Utilities for LLM/RAG

Redis Vector Library (RedisVL) -- the AI-native Python client for Redis.

Data Infrastructure providing a declarative, incremental approach for multimodal AI workloads.

Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports multi-project management, automatic ingestion from Confluence/JIRA/Git, intelligen

aivectormemory 是一款基于 Model Context Protocol (MCP) 开发的OpenClaw、OpenCode、ClaudeCodeAI记忆管理工具。它专门为 Claude、OpenCode、Cursor 和 主流IDE 编程工具设计，通过向量数据库技术解决 AI 在不同对话会话中「健忘」的问题。aivectormemory: A lightweight MCP Se

High-Performance Engine for Multi-Vector Search

Graph RAG with pure vector search, achieving SOTA performance in multi-hop reasoning scenarios.

The agent engineering platform

Open Source AI Platform - AI Chat with advanced features that works with every LLM

PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, R

LlamaIndex is the leading document agent and OCR platform

RESTai is an AIaaS (AI as a Service) open-source platform. Supports many public and local LLM suported by Ollama/vLLM/etc. Precise embeddings usage, tuning, analytics etc. Built-in image/audio generat

Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works wi

Agentic memory for CTI in Python — STIX knowledge graphs, threat-actor alias resolution, offline-first RAG, MCP server for Claude Code and LangChain agents

AI-first security scanner with 76 analyzers, 9,600+ detection rules, and repo poisoning detection for AI/ML, LLM agents, and MCP servers. Scan any GitHub repo with: medusa scan --git user/repo

Deploy any AI model, agent, database, RAG, and pipeline locally or remotely in minutes

Hindsight: Agent Memory That Learns

Monocle is a framework for tracing GenAI app code. This repo contains implementation of Monocle for GenAI apps written in Python.

One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.

Secure AI conversations with documents, video, audio, and more. Personal workspaces for focused context, group spaces for shared insight. Classify docs, reuse prompts, and extend with modular features

Enterprise-ready MCP Gateway & Registry that centralizes AI development tools with secure OAuth authentication, dynamic tool discovery, and unified access for both autonomous AI agents and AI coding a

Give your AI agents persistent memory.

Nextcloud MCP Server

NEXO Brain — Shared brain for AI agents. Persistent memory, semantic RAG, natural forgetting, metacognitive guard, trust scoring, 150+ MCP tools. Works with Claude Code, Codex, Claude Desktop & any MC

AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN

Harness LLMs with Multi-Agent Programming

"RAG-Anything: All-in-One RAG Framework"

MCP server and Claude plugin for Postgres skills and documentation. Helps AI coding tools generate better PostgreSQL code.

A thin cython wrapper around llama.cpp, whisper.cpp and stable-diffusion.cpp

AI Agent Backend Platform on FastAPI — MCP server + AI orchestration + async DDD architecture. Zero-boilerplate CRUD, auto domain discovery, 14 Claude Code AI development skills.

Production-ready RAG Framework (Python/FastAPI). 1-line config swaps: 6 Vector DBs (Weaviate, Pinecone, Qdrant, ChromaDB, pgvector, MongoDB), 5 LLMs (Gemini, OpenAI, Claude, Ollama, OpenRouter). OpenA

Dragon Brain — persistent long-term memory for AI agents via MCP (Model Context Protocol). Knowledge graph (FalkorDB) + vector search (Qdrant) + CUDA GPU embeddings. Works with Claude, Gemini CLI, Cur

LightAgent: Lightweight AI agent framework with memory, tools & tree-of-thought. Supports multi-agent collaboration, self-learning, and major LLMs (OpenAI/DeepSeek/Qwen). Open-source with MCP/SSE prot

Advanced AI Real Estate Assistant using RAG, LLMs, and Python. Features market analysis, property valuation, and intelligent search.

One API for 20+ LLM providers, your databases, and your files — self-hosted, open-source AI gateway with RAG, voice, and guardrails.

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"

Unified framework for building enterprise RAG pipelines with small, specialized models

Desktop AI Assistant powered by GPT-5, GPT-4, o1, o3, Gemini, Claude, Ollama, DeepSeek, Perplexity, Grok, Bielik, chat, vision, voice, RAG, image and video generation, agents, tools, MCP, plugins, spe

Lightweight semantic code search engine — 2-stage vector + FTS + RRF fusion + MCP server for Claude Code

RAPTOR (Robust AI-Powered Toolkit for Operational Robots) is an AI-native Content Insight Engine that transforms passive media storage into an intelligent knowledge platform through automated analysis

Build, deploy, and orchestrate event-driven agents natively on Apache Flink® and Apache Kafka®

A sovereign cognitive architecture with IIT 4.0 integrated information, residual-stream affective steering (CAA), Global Workspace Theory, active inference, and 72 consciousness modules — running loca

META‑AGENTIC α‑AGI 👁️✨ — Mission 🎯 End‑to‑end: Identify 🔍 → Out‑Learn 📚 → Out‑Think 🧠 → Out‑Design 🎨 → Out‑Strategise ♟️ → Out‑Execute ⚡

RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.

Markdown-first work-memory protocol for existing agents, with maintained knowledge, candidate notes, evals, and an example KB.

Description: Self-hosted graph-based associative memory for personal AI agents. Spreading activation, emotional weighting, zero LLM cost.

A flexible multi-interface AI agent framework for building agents with reasoning, tool use, memory, deep research, blockchain interaction, MCP, and agents-as-a-service.

Local AI server with persistent memory, RAG, and multi-backend inference (MLX / llama.cpp / Ollama). Runs entirely on your machine — zero data sent to external services.

Search your files by talking to them - 100% offline

Synthadoc: An open-source LLM knowledge compilation engine that turns raw documents into structured, local-first wikis. A transparent, human-readable alternative to traditional RAG, which can be self-

Next generation FEniCS Form Compiler for finite element forms

Open-Sable is a local-first autonomous agent framework with AGI-inspired cognitive subsystems (goals, memory, metacognition, tool use). It can run continuously on your machine, integrate with chat int

A comprehensive MCP-based todo management system, that serves as a central nervous system for Madness Interactive, a multi-project task coordination workshop.

Connect any LLM to OpenClaw — production-tested middleware for Qwen3-235B and beyond

Controllable and Transparent LLM Application Framework

Local-first AI assistant — 9 specialized agents (code, web, debug, security…), 10M token vector memory, mobile relay via secure tunnel, real-time web search and document processing. Runs 100% on your

A framework for fine-tuning retrieval-augmented generation (RAG) systems.

A local LLM-based autonomous agent orchestration platform featuring async background tasks, context-isolated sub-agents, dynamic knowledge injection, and strict security approval gates (Plan Mode).

Self-hosted autonomous AI agent — runs on your PC, controls your environment, connects to any MCP server.

Broken RAG For The Broken Souls

🚀 Build and explore multi-agent AI workflows with ready-to-use projects for document serving, Q/A bots, and orchestration.

🪈 Intelligent orchestration system that coordinates multiple AI coding assistants (Claude, Codex, Gemini CLI, Copilot CLI) to collaborate on complex software development tasks via REPL or a Vue/Nuxt

Complete Workspace Template for OpenClaw - Full agent lifecycle with unified memory system (Markdown + SQLite), self-evolution, RAG. Not for SubAgent/Skill use.

🤖 Build your own local Retrieval-Augmented Generation system for private, offline AI memory without ongoing costs or data privacy concerns.

🧠 Enhance LLM agents with an agentic memory system, featuring automatic note construction, dynamic memory updates, and intelligent semantic retrieval.

🛒 Build a leading-edge e-commerce recommendation system using RAG architecture, Groq Llama 3, LangChain, and AstraDB, deployed on Kubernetes for scalability.

A MCP server to use StatCAN data

🤖 Recommend TV shows by matching favorites, averaging embeddings, and finding similar titles using fuzzy search and vector similarity.

⚡ Optimize vector searches with a hyper-efficient cache that uses machine learning for faster, smarter data access and reduced costs.

🛠️ Simplify your tasks with MineContext, an open-source AI tool that provides context-aware support for clarity and efficiency in work and study.

🚀 Build an enterprise-ready RAG system to enhance technical documentation querying with LangGraph and multi-step reasoning workflows.

📚 Learn from diverse sources with OmniLearnAI, an intelligent platform that combines documents, videos, and more, all with reliable citations.

Store, consolidate, and recall coding agent memories with provenance tracking using SQLite and FAISS for fast, structured knowledge access.

🦾 A production‑ready research outreach AI agent that plans, discovers, reasons, uses tools, auto‑builds cited briefings, and drafts tailored emails with tool‑chaining, memory, tests, and turnkey Dock

Pinecone client and SDK

Demo RAG API (FastAPI, OpenAI, ChromaDB, Docker) automatically generated using the OpenAI Codex CLI tool. Highlights Codex's capability for rapid, complex application development.